A framework for analyzing the cognitive complexity of computer-assisted clinical ordering
A framework for analyzing the cognitive complexity of computer-assisted clinical ordering
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DOI：
10.1016/s1532-0464(03)00062-5
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发表时间：
2003-02-01
影响因子：
4.5
通讯作者：
Patel, VL
中科院分区：
文献类型：
--
作者：
Horsky, J;Kaufman, DR;Patel, VL
计算机辅助供应商订单输入是一项旨在加快医疗订购并减少可预防错误频率的技术。本文提出了一个多方面的认知方法的医疗信息系统的认知需求的表征。我们的调查是由分布式资源（DR）模型，一种新的方法，旨在描述用户界面的维度，引入不必要的认知复杂性。该方法评估系统交互中体现的外部（系统）和内部（用户）表示的相对分布。我们对商业订单输入系统进行了专家演练评估，然后由7名临床医生执行模拟临床订购任务。DR模型被用来解释用户性能的变化，并描述资源分配和订购错误的关系。分析表明，在这个订购应用程序中的资源配置不必要的沉重的认知需求的用户，特别是对那些缺乏一个强大的概念模型的系统。资源模型还提供了一些洞察临床医生的互动策略和模式的相关错误。基于人机交互的原则，在医疗领域的用户培训和界面设计的影响进行了讨论。(C)2003年爱思唯尔公司All rights reserved.
Computer-assisted provider order entry is a technology that is designed to expedite medical ordering and to reduce the frequency of preventable errors. This paper presents a multifaceted cognitive methodology for the characterization of cognitive demands of a medical information system. Our investigation was informed by the distributed resources (DR) model, a novel approach designed to describe the dimensions of user interfaces that introduce unnecessary cognitive complexity. This method evaluates the relative distribution of external (system) and internal (user) representations embodied in system interaction. We conducted an expert walkthrough evaluation of a commercial order entry system, followed by a simulated clinical ordering task performed by seven clinicians. The DR model was employed to explain variation in user performance and to characterize the relationship of resource distribution and ordering errors. The analysis revealed that the configuration of resources in this ordering application placed unnecessarily heavy cognitive demands on the user, especially on those who lacked a robust conceptual model of the system. The resources model also provided some insight into clinicians' interactive strategies and patterns of associated errors. Implications for user training and interface design based on the principles of human-computer interaction in the medical domain are discussed. (C) 2003 Elsevier Inc. All rights reserved.